Pre Processing Filters Matlab Code

%% apply wiener filter . clc; newImageRGB = imread('saturn.png'); %% convert image to gray level grayImage = rgb2gray(newImageRGB); figure; imshow(grayImage); %% adding noise to image . afferNoise = imnoise(grayImage,'gaussian',0,0.025); figure; imshow(afferNoise) %% applying wiener filter ot image. afterWiener = wiener2(afferNoise,[6 6]); figure, imshow(afterWiener) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% clc; %% create a new figure to show the image . newImg = imread('Water lilies.jpg'); figure(1); %% convert RGB to gray scale. grayImage= rgb2gray(newImg) imshow(grayImage); figure(2); %% apply prewitt filter. afterFilter = edge(grayImage,'prewitt') imshow(afterFilter); %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% apply canny filter . clc; %% create a new figure to show the image . newImg = imread('Water lilies.jpg'); figure(1); %% convert RGB to gray scale. grayImage= rgb2gray(newImg) imshow(grayImage); figure(2); %% apply canny filter. cannyResult = edge(grayImage,'canny') imshow(cannyResult);